BCGAN: A CGAN-based over-sampling model using the boundary class for data balancing
Crossref DOI link: https://doi.org/10.1007/s11227-021-03688-6
Published Online: 2021-03-05
Published Print: 2021-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Son, Minjae
Jung, Seungwon
Jung, Seungmin
Hwang, Eenjun http://orcid.org/0000-0002-0418-4092
Funding for this research was provided by:
National Research Foundation of Korea (2019M3F2A1073184)
Korea Electric Power Corporation (R18XA05)
Text and Data Mining valid from 2021-03-05
Version of Record valid from 2021-03-05
Article History
Accepted: 13 February 2021
First Online: 5 March 2021